CVE-2021-29558 : Security Advisory and Response

TensorFlow is an open-source platform for machine learning. The vulnerability allows an attacker to exploit a heap buffer overflow in

tf.raw_ops.SparseSplit

function by manipulating a user-controlled offset. This issue affects versions prior to 2.1.4, between 2.2.0 to 2.2.3, 2.3.0 to 2.3.3, and 2.4.0 to 2.4.2. The impact severity is rated as low.

Understanding CVE-2021-20657

TensorFlow vulnerability in

SparseSplit

and its implications.

What is CVE-2021-20657?

A heap buffer overflow vulnerability in TensorFlow's

SparseSplit

function allowing attackers to manipulate user-controlled offsets.

The Impact of CVE-2021-20657

The vulnerability's impact is low with the potential for heap buffer overflow manipulation.

Technical Details of CVE-2021-20657

Insights into the vulnerability specifics.

Vulnerability Description

The issue arises from

SparseSplit

enabling attackers to cause heap buffer overflow.

Affected Systems and Versions

Versions impacted include < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2.

Exploitation Mechanism

Attackers exploit the vulnerability by controlling array elements through user offsets.

Mitigation and Prevention

Measures to address and prevent the vulnerability.

Immediate Steps to Take

Update to TensorFlow 2.5.0 or apply available patches. For versions 2.1.4 to 2.4.2, ensure the cherrypick commits for security updates.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions and adhere to secure coding practices.

Patching and Updates

Stay informed about security patches and promptly apply them to mitigate risks.